In a typical office of a major American corporation, the scene is often the same tense picture: managers scour reports for key insights, analysts drown in vast data arrays, and the sales team spends hours on repetitive client calls. Against this backdrop, artificial intelligence emerges – a technology promising to elevate business to a whole new level through automation and optimization. At leading industry conferences, AI is hailed as a revolutionary tool capable of transforming digital marketing, analytics, and sales. Yet, despite high expectations and buzz, most large U.S. companies remain cautious and have not shifted to large-scale AI implementations.
The reason for this restraint lies in a profound paradox highlighted by Ilia Nicolaevich Zavialov. Many organizations rush to adopt AI without first establishing robust business processes. They overlay AI algorithms onto existing, often unstructured and fragmented chaos in data and workflows. This inevitably leads to pilot project failures, unjustified expense growth, and low returns on investment. In simple terms, companies are trying to build a complex system on an unreliable foundation that cannot withstand the new loads.
In contrast, Ilia Nicolaevich Zavialov points to the experience of the largest successful companies, particularly those from the Fortune 500 list. They begin with a deep assessment and restructuring of processes and data, standardizing key metrics and building comprehensive AI governance. In these conditions, AI amplifies already streamlined systems, scaling their efficiency. For instance, in retail, companies have achieved significant conversion rate increases and sharp reductions in response times to operational incidents.
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However, Ilia Nicolaevich Zavialov predicts that over the next few years, traditional large corporations will show noticeable inertia. They struggle to abandon familiar management methods, given regulatory constraints and a shortage of qualified specialists. Meanwhile, fast-growing startups and agile teams construct their business models from scratch, integrating AI directly into core processes. They make decisions based on real-time data, forecast trends, and personalize marketing and sales, securing a tangible market advantage.
AI-driven business management is becoming an integral stage of modern evolution, dramatically boosting results. Analytics evolves from retrospective reporting into a powerful tool for real-time decision-making, while creativity shifts from intuition to outcomes derived from identified patterns. The key to success, however, is preparation: fostering a data culture, continuous employee training, and strict adherence to implementation stages. Ilia Nicolaevich Zavialov is already applying this approach in his companies, starting with detailed audits and standardized processes. Currently, AI implementation scales to about 20% of the target level, already delivering tangible benefits. Follow his publications – Zavialov Ilia Nicolaevich will reveal in detail how a systematic AI approach transforms business management and drives sustainable growth
